剖析生成式AI发展路径，揭示其社会技术根源与未来方向
Pathways to AGI
- 从软件研究视角分析生成式AI的五大关键发展路径
- 识别出影响深远的决策节点与被放弃的替代方案
- 对比专有、开源及领域专用模型的演进差异，提出可实现的可持续路径
本文从批判性软件研究视角出发，关注五个相关问题。核心在于警惕将当前人工智能发展视为必然趋势的假设。必须认识到当前商业AI发展与社会、政治和经济环境之间的紧密关联。因此，对AGI（通用人工智能）的理解应保持批判性和条件性。首先，我们探讨了主导性生成式AI工具（能力、产品形态、采用模式）形成的关键路径；其次，识别出具有杠杆效应的关键决策点及未被采纳的替代路径；第三，比较前沿专有模型、开放权重模型和特定领域/主权模型三种基础模型路径的差异；第四，分析从关键节点衍生出的替代项目现状及其成败原因；最后，基于上述分析，提出可能通往具备类AGI能力的技术-社会发展规划，需兼顾透明度、内容可控性、用户福祉与可持续商业模式。
原文摘要 · Abstract (English)
Our focus are five related questions that stem from a critical software studies perspective. Underpinning this view is the acknowledged need to avoid assumptions regarding the inevitability of the current situation relating to AI. What we need to see is the closeness of the linkage between current commercial AI development and our prevailing social, political and economic circumstances. This does mean that the perspectives presented here are done so critically and conditionally. Most importantly, Artificial General Intelligence (AGI) is seen as being problematic both conceptually and definitionally. This conditioning of any view regarding AGI does lead the discussion in specific directions and to certain conclusions regarding the future. However, adopting this perspective enables the work to offer some final recommendations. We set out to ask the following questions, 1. What are the critical pathways that produced the current dominant generative AI tools (capabilities, product forms, adoption patterns)? 2. Which decision points acted as leverage nodes (small changes that had large downstream effects), and which dead ends reveal alternative possibilities that did not become dominant? 3. How do pathways differ across three foundational-model trajectories such as the frontier proprietary models, open-weight models or specific domain and sovereign models? 4. Which alternative projects branched from key leverage nodes, what is their current state, and why did some succeed, stall, fail or become absorbed? 5. Based on this analysis, what socio-technical development programmes could plausibly move toward AGI-adjacent capability while meeting requirements for transparency, moderation, wellbeing and sustainable business models?
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